本文实例为大家分享了python3实现人脸识别的具体代码，供大家参考，具体内容如下

第一种：

import cv2

import numpy as np

filename = 'test1.jpg'

path = r'D:\face'

def detect(filename):

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

face_cascade.load(path + '\haarcascade_frontalface_default.xml')

img = cv2.imread(filename)

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x, y, w, h) in faces:

img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

cv2.namedWindow("vikings detected")

cv2.imshow("vikings detected", img)

cv2.waitKey(0)

detect(filename)

结果：

第二种 参考贾志刚opencv教程

# -*- coding:utf-8 -*-

import cv2 as cv

import numpy as np

src = cv.imread('test1.jpg')

path = r'D:\face'

def face_detect_demo():

gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)

face_detector = cv.CascadeClassifier('haarcascade_frontalface_default.xml')

face_detector.load(path + '\haarcascade_frontalface_default.xml')

faces = face_detector.detectMultiScale(gray,1.3,5)

for x,y,w,h in faces:

cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)

cv.imshow("result",src)

print("--------------python face detect-------------")

cv.namedWindow("input image",0)

cv.namedWindow("result",0)

cv.imshow("input image",src)

face_detect_demo()

cv.waitKey(0)

cv.destroyAllWindows()

结果：

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持我们。

本文标题: python3人脸识别的两种方法

本文地址: http://www.cppcns.com/jiaoben/python/257622.html